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Valuation of Haze Management and Prevention Using the Contingent Valuation Method with the Sure Independence Screening Algorithm

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  • Guizhi Wang

    (School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China
    School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Yingxi Song

    (School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Jibo Chen

    (School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Jun Yu

    (Department of Mathematics and Statistics, University of Vermont, Burlington, VT 05401, USA)

Abstract

Haze has caused the deterioration of air quality and has ultimately affected the ecological environment. The contingent valuation method (CVM) is an important assessment method that is widely used in ecological economics. The public’s willingness to pay (WTP) for haze management and prevention can be analyzed using dichotomous choices. Here, the method is applied to study the valuation of haze management and prevention. Taking Jiangsu Province as an example, the non-market value is calculated by constructing the binary logistic model from questionnaire data, combined with a data-processing method: the sure independence screening (SIS) algorithm. The conclusions are as follows: (1) The public’s WTP for haze management and prevention is closely related to the monthly income of families and transport modality; (2) According to the CVM, the non-market value for haze management and prevention in Jiangsu is 7.645 billion yuan; (3) By the average estimate method (AEM), this value is 12.529 billion yuan, about 1.64 times the estimate from the CVM. This is because the AEM ignores the correlation among the influence factors and, therefore, overestimates the valuation of the services; (4) The CVM, combined with the SIS algorithm, does a better job in estimating the valuation of the services.

Suggested Citation

  • Guizhi Wang & Yingxi Song & Jibo Chen & Jun Yu, 2016. "Valuation of Haze Management and Prevention Using the Contingent Valuation Method with the Sure Independence Screening Algorithm," Sustainability, MDPI, vol. 8(4), pages 1-11, March.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:4:p:310-:d:66652
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    References listed on IDEAS

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    1. Davis, M.E., 2012. "Recessions and health: The impact of economic trends on air pollution in California," American Journal of Public Health, American Public Health Association, vol. 102(10), pages 1951-1956.
    2. Richard Carson & Nicholas Flores & Norman Meade, 2001. "Contingent Valuation: Controversies and Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(2), pages 173-210, June.
    3. Aiping Zhang & Linsheng Zhong & Yong Xu & Hui Wang & Lijuan Dang, 2015. "Tourists’ Perception of Haze Pollution and the Potential Impacts on Travel: Reshaping the Features of Tourism Seasonality in Beijing, China," Sustainability, MDPI, vol. 7(3), pages 1-18, February.
    4. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    5. Chia-Nung Li & Chien-Wen Lo & Wei-Chiang Su & Tsung-Yu Lai, 2015. "A Study on Soil and Groundwater Pollution Remediation of the Surrounding Real Estate Prices and Tax Revenue Impact," Sustainability, MDPI, vol. 7(11), pages 1-13, November.
    6. Chin-Huang Huang & Chiung-Hsia Wang, 2015. "Estimating the Total Economic Value of Cultivated Flower Land in Taiwan," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    7. Jianqing Fan & Jinchi Lv, 2008. "Sure independence screening for ultrahigh dimensional feature space," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 849-911, November.
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    2. Moritz A. Drupp & Zachary M. Turk & Ben Groom & Jonas Heckenhahn, 2024. "Limited Substitutability, Relative Price Changes and the Uplifting of Public Natural Capital Values," CESifo Working Paper Series 11156, CESifo.
    3. Halkos, George E & Aslanidis, Panagiotis-Stavros & Landis, Conrad & Papadaki, Lydia & Koundouri, Phoebe, 2024. "A review on primary and cascading hazards by exploring individuals’ willingness-to-pay for urban sustainability policies," MPRA Paper 122262, University Library of Munich, Germany.
    4. Fan Yang & Ling Ding & Cai Liu & Lizheng Xu & Stephen Nicholas & Jian Wang, 2018. "Haze Attitudes and the Willingness to Pay for Haze Improvement: Evidence from Four Cities in Shandong Province, China," IJERPH, MDPI, vol. 15(10), pages 1-15, October.
    5. So-Yeon Park & Seul-Ye Lim & Seung-Hoon Yoo, 2016. "The Economic Value of the National Meteorological Service in the Korean Household Sector: A Contingent Valuation Study," Sustainability, MDPI, vol. 8(9), pages 1-13, August.

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